EEBM E6096 Computing with Brain Circuits
|Lecturer:||Professor Aurel A. Lazar|
|Office hours:||By appointment, Room 819 Schapiro|
|E-mail address:||aurel "at" ee.columbia.edu|
|Class Web Site:||Offered by CourseWorks|
|Day and Time:||Mondays, 7:00 PM - 8:40 PM|
|Credits for course:||3 points|
|Prerequisites||Familiarity with linear algebra and signal processing. Python programming experience is a requirement. Prior exposure to interactive computing (e.g., JupyterLab) is a plus. Background in computational neuroscience (e.g., BMEB W4020) and/or deep learning (e.g., ECBM E4040) is recommended but it is not a prerequisite. Students are expected to extensively explore the function of local processing units of the fruit fly brain.|
|Description:||The Functional Map of the Fruit Fly Brain
Modeling the brain of model organisms with an emphasis on the fruit fly. Structural modeling of the Drosophila brain using cell-type, connectome (connectivity matrix), synaptome (set of all synapses) and activity (electrophysiology) maps. Building the functional map of the fruit fly brain with canonical circuits and parallel programming models of local processing units. The Fruit Fly Brain Observatory and the FlyBrainLab.
From Sensory Coding in Early Vision to Directing Movement
Molecular Transduction and Spatio-Temporal Encoding in the Early Visual System. Predictive Coding in the Drosophila Retina. Canonical Circuits in Motion Detection. The Functional Role of the Central Complex. Canonical Navigation Circuits in the Central Complex.
Olfactory Learning and Memory
Molecular Transduction and Combinatorial Encoding in the Early Olfactory System. Canonical Circuits in the Early Olfactory System. Predictive Coding in the Drosophila Antennal Lobe. The Functional Role of the Mushroom Body and the Lateral Horn. Canonical Circuits for Olfactory Learning and Memory in the Mushroom Body.
Projects in Python
|RCMD Text:|| Lectures Notes will be made available.
|Midterm exam:||Project I: TBA|
|Final Exam:||Project II: TBA|
|Grading||Midterm Project (50%) and Final Project (50%)|
|Hardware requirements:||Laptop for demos.|
|Software requirements:||Fruit Fly Brain Observatory Source Code, Installer and Launcher|